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Chapter 6 Applications of the Derivative

Chapter 6 Applications of the Derivative. JMerrill, 2009. 6.1 – Absolute Extrema. This chapter deals with the topic of optimization People always want to maximize income, minimize costs. These are examples of the use of a derivative—anytime we want to describe a rate of change.

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Chapter 6 Applications of the Derivative

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  1. Chapter 6Applications of the Derivative JMerrill, 2009

  2. 6.1 – Absolute Extrema • This chapter deals with the topic of optimization • People always want to maximize income, minimize costs. • These are examples of the use of a derivative—anytime we want to describe a rate of change.

  3. Absolute Maximum/Minimum Absolute Max Local Max The max/min occurs at the x-value, but the actual max/min is the y-value

  4. Max/Min • Max/min can occur at endpoints An absolute extrema is either the largest or smallest value in some interval (open or closed). A function can have only one absolute extrema.

  5. Max/Min • This theorem guarantees the existence of absolute extrema on a closed interval. However, A continuous function on an open interval may or may not have an absolute max/min

  6. Finding Absolute Extrema • To find absolute extrema: • Find the derivative • Find and evaluate the critical numbers in (a,b) • Evaluate the endpoints in [a,b] • The largest value is the absolute max; the smallest is the absolute min

  7. Example • Find the absolute extrema, if they exist, for the function f(x) = 3x4 – 4x3 – 12x2 + 2 • f’(x) = 12x3 – 12x2 – 24x • 0 = 12(x2 – x – 2) • 0 = 12x(x + 1)(x – 2) • x = 0, -1, 2 • There are no values where f’(x) does not exist, so evaluate the critical numbers.

  8. Example Con’t • f(-1) = -3 • f(0) = 2 • f(2) = -30 • This is an open interval so we cannot evaluate the endpoints. Instead we evaluate the limit of the function f(x) = 3x4 – 4x3 – 12x2 + 2 as x becomes increasingly large (x→∞). • Since the function grows without bound, the absolute min of -30 occurs at x = 2. Graphing proves this. Absolute Min

  9. Critical Point Theorem • In many applied extrema problems, a continuous function on an open interval has just one critical number

  10. Poverty Example • Based on the data from the US Census Bureau, the number of people (in millions) in the US below poverty level between 1999 and 2006 can be approximated by the function • p(t) = -0.0982t3 + 1.210t2 – 3.322t + 34.596 where t is the number of years since March 1999. • In what year did the number of people living below poverty level reach its absolute maximum? • What was the maximum number of people below poverty level during this period?

  11. Poverty • For what interval is the function defined? • [0,7]—Between 1999 and 2006 • Find the critical numbers: • p’(t) = -0.2946t2 + 2.420t – 3.322 • Can’t factor so use quadratic formula to find the critical numbers of t = 1.74, 6.47 • Because it is a closed interval, we must also evaluate the endpoints 0, 7

  12. Poverty • About 6.47 years after March 1999 (fall, 2005) about 37.2 million people were below poverty level • Also, about 32.0 million people living below poverty level was reached about 1.74 years after March 1999 (end of the year 2000) Absolute minimum

  13. 6.2 Applications of Extrema

  14. Maximizing Volume • An open box is to be made from cutting a square from each corner of a 12-in. by 12-in. piece of metal and then folding up the sides. What size square should be cut from each corner to produce a box of maximum volume? • 1. Known: 12 x 12 in. sides

  15. Maximizing Volume • 2.

  16. Maximizing Volume • 3. Volume is to be maximized so V = lwh = x(12 – 2x)(12 – 2x) = 4x3 – 48x2 + 144x • 4. Domain: Volume can’t be negative; neither can length, width, or height. What is the largest x that can be put into the equation without causing it to go negative? • 6 Domain [0,6]

  17. Maximizing Volume • 6. Find the critical points and evaluate • V’(x) = 12x2 – 96x + 144 • 0 = 12(x2 – 8x + 12) • 0 = 12(x – 2)(x – 6) • x = 2, 6 • 7. Evaluate When x = 2 in. the maximum volume is 128 in.3

  18. 6.3 Business Applications: Lot Size • A manufacturer must determine: • What production level will result in minimum production and storage costs • A purchaser must decide: • How much to order to minimize reordering and storage costs

  19. Suppose • A company makes a constant number of units per year and that product can be made in several batches per year. The company can make: • 1 large batch a year: minimum set up costs, but maximum storage costs • Many small batches a year: maximum set up costs, but minimum storage costs • The ideal combination is called economic lot size

  20. Economic Lot Size • Let: • q = number of units in a batch • k = cost of storing 1 unit for 1 year • f = fixed setup costs • g = cost of manufacturing 1 unit • M = total number of units produced annually

  21. Economic Lot Size • The total cost of producing M units in batches of size q is: • Setting the derivative = 0 gives

  22. Economic Lot Size Example • A paint company has a steady demand for 24,500 cans of automobile primer. It costs $2 to store one can of paint for a year and $500 in set up costs. • How many cans of primer should be produced • Find the number of batches per year to make to minimize total production costs.

  23. Economic Lot Size • Let: • q = number of units in a batch • k = cost of storing 1 unit for 1 year • f = fixed setup costs • g = cost of manufacturing 1 unit • M = total number of units annually • k = 2, M = 24,500, f = 500

  24. Solution • Using our critical number equation • The company should make 3500 cans per batch to minimize costs. The number of batches per year =

  25. Economic Order Quantity • Let: • q = number of units to order each time • k = cost of storing 1 unit for 1 year • f = fixed costs to place an order • M = total number of units needed annually

  26. Order Quantity • A large pharmacy has an annual need for 480 units of a certain antibiotic. It costs $3 to store 1 unit for 1 year. The fixed cost of placing an order is $31. • Find the number of units to order each time • Find how many times a year the antibiotics should be ordered

  27. Economic Order Quantity • Let: • q = number of units to order each time • k = cost of storing 1 unit for 1 year • f = fixed costs to place an order • M = total number of units needed annually • k = 3, M = 480, f = 31

  28. Solution • Using our critical number equation • The company should order 100 units per order to minimize costs. The number of times per year =

  29. Elasticity of Demand • Changes in price affects demand • Changes in price varies with different items (luxury items are more sensitive than essentials) • One way to measure the sensitivity of demand in price is by the relative change—the ratio of percent change in demand to percent change in price. Elasticity of Demand is the measure

  30. Elasticity of Demand

  31. Example • The demand for distilled spirits is measured by q = f(p) = -.00375p + 7.87, where p is the retail price of a case of liquor in dollars per case and • q is the average number of cases purchased per year by a consumer. • Calculate the elasticity of demand when p = $118.30 per case

  32. Example Con’t • q = f(p) = -.00375p + 7.87 • dq/dp = -0.00375 • Since E < 1, a percentage change in price will result in a smaller percentage change in demand, so an increase in price will increase revenue

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